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Powerful results from the theory of integer programming have recently led to substantial advances in parameterized complexity. However, our perception is that, except for Lenstra's algorithm for solving integer linear programming in fixed…

Data Structures and Algorithms · Computer Science 2018-10-26 Tomáš Gavenčiak , Dušan Knop , Martin Koutecký

In this work, we study a range of constrained versions of the $k$-supplier and $k$-center problems such as: capacitated, fault-tolerant, fair, etc. These problems fall under a broad framework of constrained clustering. A unified framework…

Data Structures and Algorithms · Computer Science 2021-10-28 Dishant Goyal , Ragesh Jaiswal

We consider the problem of partitioning the node set of a graph into $k$ sets of given sizes in order to \emph{minimize the cut} obtained using (removing) the $k$-th set. If the resulting cut has value $0$, then we have obtained a vertex…

Optimization and Control · Mathematics 2014-11-20 Ting Kei Pong , Hao Sun , Ningchuan Wang , Henry Wolkowicz

We initiate the theoretical study of Ext-TSP, a problem that originates in the area of profile-guided binary optimization. Given a graph $G=(V, E)$ with positive edge weights $w: E \rightarrow R^+$, and a non-increasing discount function…

Data Structures and Algorithms · Computer Science 2021-07-19 Julián Mestre , Sergey Pupyrev , Seeun William Umboh

The Set Packing problem is, given a collection of sets $\mathcal{S}$ over a ground set $\mathcal{U}$, to find a maximum collection of sets that are pairwise disjoint. The problem is among the most fundamental NP-hard optimization problems…

Computational Complexity · Computer Science 2023-02-28 Ameet Gadekar

The Metric Embedding problem takes as input two metric spaces $(X,D_X)$ and $(Y,D_Y)$, and a positive integer $d$. The objective is to determine whether there is an embedding $F:X \rightarrow Y$ such that $d_{F} \leq d$, where $d_{F}$…

Computational Geometry · Computer Science 2018-06-27 Arijit Ghosh , Sudeshna Kolay , Gopinath Mishra

Capacitated Vertex Cover is the hard-capacitated variant of Vertex Cover: given a graph, a capacity for every vertex, and an integer $k$, the task is to select at most $k$ vertices that cover all edges and assign each edge to one of its…

Data Structures and Algorithms · Computer Science 2026-04-22 Michael Lampis , Manolis Vasilakis

Given $k$ input graphs $G_1, \dots ,G_k$, where each pair $G_i$, $G_j$ with $i \neq j$ shares the same graph $G$, the problem Simultaneous Embedding With Fixed Edges (SEFE) asks whether there exists a planar drawing for each input graph…

Data Structures and Algorithms · Computer Science 2025-05-01 Simon D. Fink , Matthias Pfretzschner , Ignaz Rutter

We study the minimum \emph{interval deletion} problem, which asks for the removal of a set of at most $k$ vertices to make a graph of $n$ vertices into an interval graph. We present a parameterized algorithm of runtime $10^k \cdot n^{O(1)}$…

Data Structures and Algorithms · Computer Science 2014-05-07 Yixin Cao , Dániel Marx

Many problems are NP-hard and, unless P = NP, do not admit polynomial-time exact algorithms. The fastest known exact algorithms exactly usually take time exponential in the input size. Much research effort has gone into obtaining faster…

Data Structures and Algorithms · Computer Science 2025-01-27 Stefan Kratsch , Pascal Kunz

We consider the graph $k$-partitioning problem under the min-max objective, termed as Minmax $k$-cut. The input here is a graph $G=(V,E)$ with non-negative edge weights $w:E\rightarrow \mathbb{R}_+$ and an integer $k\geq 2$ and the goal is…

Data Structures and Algorithms · Computer Science 2020-11-09 Karthekeyan Chandrasekaran , Weihang Wang

In this paper we study the hardness of the $k$-Center problem on inputs that model transportation networks. For the problem, a graph $G=(V,E)$ with edge lengths and an integer $k$ are given and a center set $C\subseteq V$ needs to be chosen…

Computational Complexity · Computer Science 2020-03-03 Andreas Emil Feldmann , Daniel Marx

Given an orthogonal connected arrangement of line-segments, Minimum Corridor Guarding(MCG) problem asks for an optimal tree/closed walk such that, if a guard moves through the tree/closed walk, all the line-segments are visited by the…

Computational Geometry · Computer Science 2022-03-30 Remi Raman , R Subashini , Subhasree Methirumangalath

The Secluded Path problem models a situation where a sensitive information has to be transmitted between a pair of nodes along a path in a network. The measure of the quality of a selected path is its exposure, which is the total weight of…

Data Structures and Algorithms · Computer Science 2015-04-22 Fedor V. Fomin , Petr A. Golovach , Nikolay Karpov , Alexander S. Kulikov

Given an undirected $n$-vertex graph and $k$ pairs of terminal vertices $(s_1,t_1), \ldots, (s_k,t_k)$, the $k$-Disjoint Shortest Paths ($k$-DSP)-problem asks whether there are $k$ pairwise vertex-disjoint paths $P_1,\ldots, P_k$ such that…

Combinatorics · Mathematics 2022-05-03 Matthias Bentert , André Nichterlein , Malte Renken , Philipp Zschoche

In the Asymmetric Traveling Salesperson Problem (ATSP) the goal is to find a closed walk of minimum cost in a directed graph visiting every vertex. We consider the approximability of ATSP on topologically restricted graphs. It has been…

Data Structures and Algorithms · Computer Science 2016-01-08 Daniel Marx , Ario Salmasi , Anastasios Sidiropoulos

The Exact Matching (EM) problem asks whether there exists a perfect matching which uses a prescribed number of red edges in a red/blue edge-colored graph. While there exists a randomized polynomial-time algorithm for the problem, only some…

Data Structures and Algorithms · Computer Science 2025-10-15 Nicolas El Maalouly , Kostas Lakis

Diameter -- the task of computing the length of a longest shortest path -- is a fundamental graph problem. Assuming the Strong Exponential Time Hypothesis, there is no $O(n^{1.99})$-time algorithm even in sparse graphs [Roditty and…

Data Structures and Algorithms · Computer Science 2020-12-22 Matthias Bentert , André Nichterlein

The Traveling Salesman Problem (TSP) is a classic and extensively studied problem with numerous real-world applications in artificial intelligence and operations research. It is well-known that TSP admits a constant approximation ratio on…

Data Structures and Algorithms · Computer Science 2025-12-02 Jingyang Zhao , Zimo Sheng , Mingyu Xiao

We consider the Shallow-Light Steiner Network problem from a fixed-parameter perspective. Given a graph $G$, a distance bound $L$, and $p$ pairs of vertices $(s_1,t_1),\cdots,(s_p,t_p)$, the objective is to find a minimum-cost subgraph $G'$…

Data Structures and Algorithms · Computer Science 2018-03-01 Amy Babay , Michael Dinitz , Zeyu Zhang